Collection, storage and application of human knowledge in expert system development

: Expert systems are programs that analyze data by mimicking the thought processes of an expert. Two expert systems were developed by the Reservoir Evaluation and Advanced Computational Techniques group to aid in oil prospecting for two New Mexico formations, leading to the development of a third cu...

Full description

Saved in:
Bibliographic Details
Published in:Expert systems 2007-11, Vol.24 (5), p.346-355
Main Authors: Balch, Robert S., Schrader, Susan M., Ruan, Tongjun
Format: Article
Language:English
Subjects:
Data analysis
expert system design
Expert systems
fuzzy logic
Knowledge
knowledge representation
Oil exploration
petroleum exploration
Studies
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:: Expert systems are programs that analyze data by mimicking the thought processes of an expert. Two expert systems were developed by the Reservoir Evaluation and Advanced Computational Techniques group to aid in oil prospecting for two New Mexico formations, leading to the development of a third customizable fuzzy expert system. Knowledge engineering is a major part of the development of these expert systems, in which expert knowledge is solicited, analyzed, converted to rules stored in a system's knowledge base, and used by the computer to produce expert judgment. Numerical versions of the rules are used to analyze data and produce an evaluation of the user's prospect. In addition, the knowledge base preserves expert knowledge for future workers. This is especially important in the petroleum industry, as there is a cyclical trend in employment relating to the price of oil, retirements and people leaving and entering the industry.
ISSN:0266-4720
1468-0394
DOI:10.1111/j.1468-0394.2007.00439.x